| DOI | Trouver le DOI : https://doi.org/10.1007/s00138-011-0361-9 |
|---|
| Auteur | Rechercher : Wuhrer, Stefanie1; Rechercher : Xi, Pengcheng1; Rechercher : Shu, Chang1 |
|---|
| Affiliation | - Conseil national de recherches du Canada. Institut de technologie de l'information du CNRC
|
|---|
| Format | Texte, Article |
|---|
| Sujet | shape correspondence; anthropometric landmarks; human models; landmark prediction |
|---|
| Résumé | We consider the problem of computing accurate point-to-point correspondences among a set of human bodies in similar posture using a landmark-free approach. The approach learns the locations of the anthropometric landmarks present in a database of human models in similar postures and uses this knowledge to automatically predict the locations of these anthropometric landmarks on a newly available scan. The predicted landmarks are then used to compute point-to-point correspondences between a template model and the newly available scan. This study conducts a large-scale evaluation to examine the accuracy of the computed correspondences. Furthermore, we show that the correspondences are accurate enough for the application of motion transfer. |
|---|
| Date de publication | 2011-08-06 |
|---|
| Dans | |
|---|
| Langue | anglais |
|---|
| Publications évaluées par des pairs | Oui |
|---|
| Numéro NPARC | 21268090 |
|---|
| Exporter la notice | Exporter en format RIS |
|---|
| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
|---|
| Identificateur de l’enregistrement | b5ac8679-e8c2-4e3d-95ce-d8ad0bbe9343 |
|---|
| Enregistrement créé | 2013-04-09 |
|---|
| Enregistrement modifié | 2020-04-21 |
|---|
